Machine Vision System for Inspecting Flank Wear on Cutting Tools

Abstract

This paper describes the development of a machine vision system for automated tool wear inspection. The proposed approach measures the tool wear region based on the active contour algorithm and classifies the wear type by means of neural networks. Test results show that prevalent tool wears can be checked robustly in a real production environment and therefore the manufacturing automation can be improved.